Triple
T5971855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley Cooper |
E132891
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Burnt (2015 film) |
E146881
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Burnt (2015 film) | Statement: [Bradley Cooper, notableWork, Burnt (2015 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnt (2015 film) Context triple: [Bradley Cooper, notableWork, Burnt (2015 film)]
-
A.
Burnt (film)
chosen
Burnt is a 2015 drama film about a talented but self-destructive chef seeking redemption in the high-pressure world of haute cuisine.
-
B.
Burnt
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
-
C.
Ya Burnt
"Ya Burnt" is a recurring comedic rant segment on Late Night with Seth Meyers in which Meyers humorously calls out and "burns" various topics, trends, and public figures.
-
D.
Let Her Burn
Let Her Burn is a 2023 electropop EP by American singer Rebecca Black that marks her critically acclaimed reinvention with darker, more experimental pop sounds.
-
E.
"Burn"
"Burn" is an R&B ballad best known as one of Usher's major hits from his 2004 album "Confessions," co-written and produced by Jermaine Dupri.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c049ff0eec8190834f77bafae943ce |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40a67bc8190a57884f7c6aa1b9d |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:03 p.m.